Leveraging negative capacitance ferroelectric materials for performance boosting of sub-10 nm graphene nanoribbon field-effect transistors: a quantum simulation study

Khalil Tamersit, Mohammad Hossein Moaiyeri, Mohammad Khaleqi Qaleh Jooq

Research output: Contribution to journalArticlepeer-review

19 Citations (Scopus)

Abstract

In this paper, an ultrascaled ballistic graphene nanoribbon field-effect transistor (GNRFET) endowed with a compound double-gate based on metal-ferroelectric-metal (MFM) structure is proposed to overcome the limitations encountered with its conventional counterpart. The ballistic transistor is computationally investigated by solving self-consistently the non-equilibrium Green’s function formalism and the Poisson solver in conjunction with the Landau-Khalatnikov equation. The numerical investigation has included the ferroelectric-induced amplified internal metal voltage, the role of the ferroelectric thickness in boosting the device performance, the assessment of the switching and subthreshold performance, and the analysis of the FE-GNRFET scaling capability. The simulations revealed that the MFM-based gate can significantly boost the performance of GNRFETs, including the switching behavior, the on-current, the off-current, the current ratio, the swing factor, the intrinsic delay, and the scaling capability. More importantly, the proposed MFM GNRFET was found able to provide sub-thermionic subthreshold swing even with sub-10 nm gate lengths, which is very promising for low-power applications. The obtained results indicate that the MFM-based gating approach can give new impulses to the GNRFET technology.

Original languageEnglish
Article number465204
JournalNanotechnology
Volume33
Issue number46
DOIs
Publication statusPublished - 12 Nov 2022
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2022 IOP Publishing Ltd.

Keywords

  • field-effect transistors (FETs)
  • graphene nanoribbon (GNR)
  • metal-ferroelectric-metal-insulator-semiconductor (MFMIS)
  • negative capacitance (NC)
  • quantum simulation
  • subthreshold swing (SS)
  • switching

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